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Analyze » The Apache Software Foundation » NETVERDLITHE1780583187

Incident Score: Analysis & Impact (NETVERDLITHE1780583187)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-10
Company Score Before Incident745 / 1000
Company Score After Incident735 / 1000
INCIDENT NUMBERNETVERDLITHE1780583187
Type of Cyber IncidentVulnerability
ATTACK VECTORSSH, Web Applications, SMTP, Legacy Protocols
DATA EXPOSEDNA
INCIDENT DATE30/04/2025
STATUSCompleted (Research Analysis)

Key Highlights From The Incident Analysis

  • Timeline of The Apache Software Foundation's Vulnerability and lateral movement inside company's environment.
  • Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
  • How Rankiteo’s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts The Apache Software Foundation Rankiteo cyber scoring and cyber rating.
  • Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.

Full Incident Analysis Transcript

In this Rankiteo incident briefing, we review the The Apache Software Foundation breach identified under incident ID NETVERDLITHE1780583187.

The analysis begins with a detailed overview of The Apache Software Foundation's information like the linkedin page: https://www.linkedin.com/company/the-apache-software-foundation, the number of followers: 79547, the industry type: Software Development and the number of employees: 2368 employees

After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 745 and after the incident was 735 with a difference of -10 which is could be a good indicator of the severity and impact of the incident.

In the next step of the video, we will analyze in more details the incident and the impact it had on The Apache Software Foundation and their customers.

On 01 May 2026, Global honeypot network disclosed Exploit Trends and Vulnerability Exploitation issues under the banner "Honeypot Data Reveals Persistent Cyber Threats: A Year in Exploit Trends (2025–2026)".

Between May 2025 and May 2026, a global network of honeypots recorded over 9.2 million security events originating from 54,000 unique IP addresses across 163 countries, highlighting evolving cyber threats.

The disruption is felt across the environment, affecting Decoy honeypot systems.

Formal response steps have not been shared publicly yet.

The case underscores how Completed (Research Analysis), teams are taking away lessons such as The data underscores the longevity of high-impact vulnerabilities and the risks of unpatched systems, even years after disclosure. Honeypots serve as critical tools for detecting emerging threats and attacker methodologies, and recommending next steps like Patch high-impact vulnerabilities promptly, avoid exposing SSH directly to the internet, and monitor legacy systems for exploitation attempts.

Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.

The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.

MITRE ATT&CK® Correlation Analysis

Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Exploit Public-Facing Application (T1190) with high confidence (90%), with evidence including react2Shell (CVE-2025-55182) critical flaw in Next.js servers, and proxyLogon/ProxyShell/ProxyNotShell leveraging unpatched servers, Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating sSH (75% of events) dominating activity, risks of exposing protocol, and External Remote Services (T1133) with moderate to high confidence (80%), supported by evidence indicating sSH, web applications, and SMTP services targeted for initial access. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (80%), supported by evidence indicating react2Shell, Shellshock, ThinkPHP, and Log4Shell exploited for execution and Command and Scripting Interpreter (T1059) with moderate to high confidence (70%), supported by evidence indicating shellshock (CVE-2014-6271) Bash vulnerability actively probed. Under the Persistence tactic, the analysis identified External Remote Services (T1133) with moderate to high confidence (70%), supported by evidence indicating persistent exploitation of SSH and web applications for access and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating sSH dominance suggests use of compromised credentials. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (80%), supported by evidence indicating proxyLogon/ProxyShell leveraged for SYSTEM-level access. Under the Defense Evasion tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (70%), supported by evidence indicating unpatched vulnerabilities exploited to bypass defenses and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating use of SSH and valid credentials to evade detection. Under the Discovery tactic, the analysis identified Network Service Discovery (T1046) with moderate to high confidence (80%), supported by evidence indicating honeypots recorded 9.2M events from 54K IPs across 163 countries and File and Directory Discovery (T1083) with moderate confidence (60%), supported by evidence indicating web applications and legacy systems probed for vulnerabilities. Under the Lateral Movement tactic, the analysis identified Remote Services (T1021) with moderate to high confidence (70%), supported by evidence indicating sSH and web applications targeted for lateral movement. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (90%)
Valid Accounts (70%)
External Remote Services (80%)
Execution
Exploitation for Client Execution (80%)
Command and Scripting Interpreter (70%)
Persistence
External Remote Services (70%)
Valid Accounts (60%)
Privilege Escalation
Exploitation for Privilege Escalation (80%)
Defense Evasion
Exploitation for Privilege Escalation (70%)
Valid Accounts (60%)
Discovery
Network Service Discovery (80%)
File and Directory Discovery (60%)
Lateral Movement
Remote Services (70%)

Sources & References